- Idealists: contents matter 100%; highly needed but most disappear (frustration, don't get promotions)
- Pragmatists: focus on content but use metrics to survive
- Conformists: metrics matter 100%
- Idealists: contents matter 100%; highly needed but most disappear (frustration, don't get promotions)
- Pragmatists: focus on content but use metrics to survive
- Conformists: metrics matter 100%
doi 10.1146/annurev-statistics-042324-123749
@maartenvsmeden.bsky.social @laurewynants.bsky.social @vanamsterdam.bsky.social and Ewout Steyerberg
doi 10.1146/annurev-statistics-042324-123749
@maartenvsmeden.bsky.social @laurewynants.bsky.social @vanamsterdam.bsky.social and Ewout Steyerberg
Read about life and work that made this statistician a "citation millionaire"
#BMJChristmas
www.bmj.com/content/391/...
Read about life and work that made this statistician a "citation millionaire"
#BMJChristmas
www.bmj.com/content/391/...
- Stop bashing AUROC, although it does not settle things
- Calibration and clinical utility are key
- Show risk distributions
- Classification statistics (e.g. F1) are improper
www.thelancet.com/journals/lan...
- Stop bashing AUROC, although it does not settle things
- Calibration and clinical utility are key
- Show risk distributions
- Classification statistics (e.g. F1) are improper
www.thelancet.com/journals/lan...
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
@laure_wynants @ESteyerberg @lasaibarrenada.bsky.social
arxiv.org/abs/2506.17141
Small print: unless money is involved
Small print: unless money is involved
#publishers #retractions
#publishers #retractions
Any time someone uses this term, make sure they explain exactly what they mean. If they can't, they are obviously trying to bullshit you.
Any time someone uses this term, make sure they explain exactly what they mean. If they can't, they are obviously trying to bullshit you.
www.theguardian.com/science/2025...
www.theguardian.com/science/2025...
Data isn't objective and researchers have innumerable ways to put their thumbs on the scale. Many don't understand statistics well enough to realize they're doing it.
Almost all of the bugs and problems and breakage in the software you use is known to the engineers, we just aren't allowed to fix it. Gotta ship new features.
The number of parents that don't care much about their kids and/or have very thinly veiled resentment against them is much higher than most people think.
Data isn't objective and researchers have innumerable ways to put their thumbs on the scale. Many don't understand statistics well enough to realize they're doing it.
"Importance of sample size on the quality & utility of AI-based prediction models for healthcare"
- for broad audience
- explains why inadequate SS harms #AI model training, evaluation & performance
- pushback to claims SS irrelevant to AI research
👇
tinyurl.com/yrje52fn
"Importance of sample size on the quality & utility of AI-based prediction models for healthcare"
- for broad audience
- explains why inadequate SS harms #AI model training, evaluation & performance
- pushback to claims SS irrelevant to AI research
👇
tinyurl.com/yrje52fn
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
Work with @benvancalster.bsky.social @laurewynants.bsky.social #DoranneThomassen #EwoutSteyerberg
@kuleuvenuniversity.bsky.social @fwovlaanderen.bsky.social
A lot of publications in MDPI journals also in Flanders, despite it being listed on predatoryjournals.org.
@kuleuvenuniversity.bsky.social @fwovlaanderen.bsky.social
A lot of publications in MDPI journals also in Flanders, despite it being listed on predatoryjournals.org.
A. $8.349 billion ($8.968 B in 2023 USD)
$2.5B in 2023 alone.
arxiv.org/abs/2407.16551 #metasci
A. $8.349 billion ($8.968 B in 2023 USD)
$2.5B in 2023 alone.
arxiv.org/abs/2407.16551 #metasci
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
1. Clustered Group Calibration (CG-C)
2. Two-Stage Meta-Analysis Calibration (2MA-C)
3. Mixed Model Calibration (MIX-C)
Ready-to-use R code included!
Work with @lasaibarrenada.bsky.social @laurewynants.bsky.social @bavodccampo.bsky.social
arxiv.org/abs/2503.08389
Work with @lasaibarrenada.bsky.social @laurewynants.bsky.social @bavodccampo.bsky.social
arxiv.org/abs/2503.08389
www.veto.be/onderzoek/on...
www.veto.be/onderzoek/on...